AI Models GPU deployment software Engineer jobs in United States
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AMD · 4 hours ago

AI Models GPU deployment software Engineer

AMD is a company dedicated to building innovative products that enhance computing experiences across various domains, including AI and data centers. The role involves optimizing AI models and frameworks on AMD GPUs, collaborating with internal teams, and applying best software engineering practices.

Artificial Intelligence (AI)Cloud ComputingComputerEmbedded SystemsGPUHardwareSemiconductor
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs
Optimize AI frameworks like PyTorch, TensorFlow, etc. on AMD GPUs in upstream open-source repositories
Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI
Work with open-source framework maintainers to understand their requirements - and have your code changes integrated upstream
Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams
Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems
Apply your knowledge of software engineering best practices

Qualification

C++PythonAI model optimizationGPU computingAI frameworksAnalytical skillsSoftware engineering best practicesTeam collaboration

Required

Strong technical and analytical skills in C++/Python AI development in a Linux environment
Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort
Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs
Optimize AI frameworks like PyTorch, TensorFlow, etc. on AMD GPUs in upstream open-source repositories
Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI
Work with open-source framework maintainers to understand their requirements - and have your code changes integrated upstream
Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams
Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems
Apply your knowledge of software engineering best practices
Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field

Preferred

Knowledge of GPU computing (HIP, CUDA, OpenCL)
AI model experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems
Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design
Experiences to run workloads on large scale heterogeneous cluster is a plus
Experiences to optimize GPU kernels for performance is a plus

Benefits

AMD benefits at a glance.

Company

Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions.

H1B Sponsorship

AMD has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (836)
2024 (770)
2023 (551)
2022 (739)
2021 (519)
2020 (547)

Funding

Current Stage
Public Company
Total Funding
unknown
Key Investors
OpenAIDaniel Loeb
2025-10-06Post Ipo Equity
2023-03-02Post Ipo Equity
2021-06-29Post Ipo Equity

Leadership Team

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Lisa Su
Chair & CEO
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Mark Papermaster
CTO and EVP
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Company data provided by crunchbase